How to use WeWeb for creating an AI-driven personal stylist application?

Step 1: Creating a WeWeb Account

The first step in creating an AI-driven personal stylist application is to sign up on WeWeb. Go to the WeWeb official website via a web browser and click on the ‘Sign Up’ button, usually located in the top right corner of the homepage. Fill out the required fields with your full name, email address, and a secure password. After filling out these, click on the ‘Sign Up’ button. You should shortly receive an email. Click on the link in the email to verify your account.

Step 2: Start a New Project

After your account is set up, sign in with your username and password. In your WeWeb’s Dashboard, click on 'New Project'. Give a name to your project and define its primary goal, which in this case would be 'App Development'.

Step 3: Selecting a Template

After creating a project, pick from a plethora of templates offered by WeWeb. To create a personal stylist application, select a template that best matches your needs. If need be, you can modify the template later.

Step 4: Customizing Your Template

Now that you have chosen a template, you will be directed to a dashboard where you can customize the design and layout. Add, delete or move around elements as per your need. Remember, the user interface should be clean, intuitive and visually appealing as it is a personal stylist app. You can also add color themes and fonts matching with the logo and branding of your app and business.

Step 5: Adding AI Features

Once you're satisfied with the design and layout; click on the 'Add Features' button, usually located on the left side of the dashboard. Look for AI features/options such as AI-Image Analysis or AI-Style Recommendation, and add them. These are essential for an AI-driven personal stylist application, as they would analyze user’s style preferences and suggest outfits accordingly.

Step 6: Configuring the AI feature

Once you have added the AI features, it's time to configure them. Generally, you would need to connect your AI components to a database of clothes and styles, set its suggestions algorithm, and design the interaction between the AI and the users.

Step 7: Configuring the User Database

Next, set up the user database. You will need user data to feed the AI and generate outfit suggestions. Add parameters such as user's gender, age, style preference, purchasing habits etc. Make sure to add security measures to protect user data.

Step 8: Testing the Application

Before your application can go live, you need to test it thoroughly. Use simulated user data to test if the AI is making accurate and desirable style recommendations. Check all buttons, links, and fields. Conduct beta testing if possible, to get real user feedbacks.

Step 9: Publish the Application

Once you are confident about the performance and look of your app, it's time to publish. Click on the 'Publish' button, usually found on the upper right corner of the dashboard. Follow the prompts to publish the app, and it shall be live.

Step 10: Monitor and Update

Post-launch, it's essential to monitor user feedback and app performance. Based on the input, you might need to update or tweak your application. Remember, app development is an ongoing process that entails constant improvement and updates.

With WeWeb, creating an AI-driven personal stylist application is a simple and easy process, even if you are not an expert in coding or AI. Just ensure your app solves a genuine problem, provides valuable solutions, and is user-friendly.